Case Studies
Aug 31, 2020

Joint Probability Study of Destructive Factors Related to the “Triad” Phenomenon during Typhoon Events in the Coastal Regions: Taking Jiangsu Province as an Example

Publication: Journal of Hydrologic Engineering
Volume 25, Issue 11

Abstract

Strong winds (W), storm tides (Z), and heavy rains (R) are the main destructive factors related to typhoons that affect the coastal regions of Jiangsu, where the “triad” phenomenon is obvious. Statistical results from 1960 to 2014 during typhoon events with a “triad” feature indicate that the mean high tide level, mean wind speed, and mean 24 h rainfall in three coastal cities (Lianyungang, Yancheng and Nantong) are approximately 2.96 m, 12.5  m/s, and 74.8 mm, respectively. Copulas and the particle swarm optimization (PSO) method are applied, indicating that the Gumbel copula and Weibull distribution are appropriate theoretical models for joint and marginal distributions of these destructive factors, respectively. However, a reanalysis of the parameters of the Weibull function and Gumbel copula is necessary, given that a strong typhoon may appear in the future. Typhoon-induced rains and tides are the main disaster factors of flooding in the coastal regions of Jiangsu. This paper proposes the cost-oriented method, the safety-oriented method, and a compromise between cost reduction and safety insurance to optimize the combination of rains and tides.

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Data Availability Statement

All of the data, models, and code generated or used during the study appear in the published article.

Acknowledgments

This work was supported by the Science and Technology Project of Jiangsu Province (Grant No. BM2018028).

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Go to Journal of Hydrologic Engineering
Journal of Hydrologic Engineering
Volume 25Issue 11November 2020

History

Received: Dec 13, 2019
Accepted: Jun 16, 2020
Published online: Aug 31, 2020
Published in print: Nov 1, 2020
Discussion open until: Jan 31, 2021

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Associate Professor, Rural Water Conservancy and Soil and Water Conservation Research Institute, Jiangsu Hydraulic Research Institute, 97 Nanhu Rd., Nanjing 210017, China (corresponding author). Email: [email protected]
Associate Professor, Rural Water Conservancy and Soil and Water Conservation Research Institute, Jiangsu Hydraulic Research Institute, 97 Nanhu Rd., Nanjing 210017, China. Email: [email protected]
Songgan Weng [email protected]
Engineer, Rural Water Conservancy and Soil and Water Conservation Research Institute, Jiangsu Hydraulic Research Institute, 97 Nanhu Rd., Nanjing 210017, China. Email: [email protected]

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